1 / 19

GLC 2000 - South America Map: Land Cover Classification and Integration of Specialized Regions

This map presents the land cover classification of South America using a centralized processing approach and regional expert assessment. It includes the first-pass class labels, class rationalization, and integration of specialized areas for regional products. Major problems faced during the classification process are also discussed.

lwhitaker
Download Presentation

GLC 2000 - South America Map: Land Cover Classification and Integration of Specialized Regions

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. GLC 2000 – South America map Presented by H.Eva E. E. de Miranda C. di Bella V. Gond O.Huber S.Jones

  2. Contributing Institutions

  3. Logistical Approach 1/. Centralised processing 2/. First-pass class labels 3/. Regional expert assessment of classes – re-labeling 4/. Class rationalisation 5/. Integration of specialist areas for regional product

  4. 1/. Centralised processing –the data set Creation of seasonal mosaics from S10 product Jan-Mar Apr-Jun July-Sept Oct-Dec Image selection on lowest SWIR Cloud Screening

  5. Combining of VGT seasonal images • Masking of evergreen forest (use of TREES 2000) • Unsupervised clustering to 50 classes

  6. 2/. First pass class labeling • Semi- evergreen forest • Dry forest • Shrubs (dense / sparse) • Savannah with shrubs • Savannah • Sparse grasslands • Agriculture • Barren

  7. Class labeling • Spectral signature • Texture and context • NDVI profile • Existing land cover maps and ancillary data

  8. Major Problems • Cloud shadow in forest areas and Andes • Seasonal aspects not directly related to the land cover – snow / flooding / burning • Main spectral ambiguity – grasslands / agriculture • Urban areas not easy to descriminate

  9. NE Brazil Caatingas Andes transect Southern Brazil Argentina from Monte to Steppe Magellan grasslands Main problem areas – V1.1

  10. Venezuela Brazil Southern Cone Amazon forest 3/. Regional Experts working on data

  11. Universidad Mayor de San Andrés Regional Experts helping with validation

  12. 4/. Integration of specialist areas for regional product • Whilst all of South America is completed to the mimimum GLC 2000 legend – some areas/land cover types will have more detailed products • NE Brazil • -Swamp forests (JERS-1 data) • -Bamboo dominated forests (Acre / Peru)

  13. Class rationalisation with other tropical regions

  14. Intercontinental comparisons of vegetation dynamic from NDVI- derived parameters for each map class -maximum NDVI -adjusted minimum NDVI -range of NDVI -rates of change of NDVI -integrated NDVI -parameters of seasonality (fit of seasonally adjusted curves)

  15. NDVI maximum monthly image – allowing intercontinental comparisons

  16. Current Status • first draft map has been created • Errors due to spectral confusion • Lack of adequate knowledge of certain cover types • NE Brazil should be ratified with EMBRAPA by the end of March • - A final “draft” for July / August

  17. Final Comment Importance of the Global Legend Importance of the Regional Legends and the partnerships with national experts worldwide

More Related